Triple

T17749229
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Triad E443069 entity
Predicate cinematographer P1953 FINISHED
Object Lü Yue NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lü Yue | Statement: [Shanghai Triad, cinematographer, Lü Yue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lü Yue
Context triple: [Shanghai Triad, cinematographer, Lü Yue]
  • A. Lü Yue chosen
    Lü Yue is a Chinese cinematographer and film director renowned for his visually nuanced work on acclaimed films, including collaborations with leading figures of the Fifth Generation of Chinese cinema.
  • B. Li Yue
    Li Yue was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • C. Li Jiayu
    Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
  • D. Li Jinyu
    Li Jinyu is a Chinese short track speed skater known for representing China in major international competitions, including the Winter Olympics.
  • E. Xie Lian
    Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48418c0188190beb31809b40e4648 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.